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Man–Machine Interactions 4 pp 551–561Cite as

Approximate Reasoning and Fuzzy Evaluation in Code Compliance Checking

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 391))

Abstract

This paper deals with the problem of developing intelligent tools which would support the design system by automated checking various design criteria. These criteria contain both building codes and customer requirements. The paper extends the logic-based reasoning methods used previously in computer-aided visual design to a fuzzy classification. The fuzzy classification of the drawings representing early design solutions is based on approximate reasoning, where different types of criteria are considered. Due to this classification the system is able to evaluate the correspondence of potential solutions to the project specification and check their code compliance. The approach is illustrated by example of designing layouts of a small office.

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Author information

Authors and Affiliations

  1. The Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

    Ewa Grabska, Andrzej Łachwa & Grażyna Ślusarczyk

Authors
  1. Ewa Grabska
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  2. Andrzej Łachwa
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  3. Grażyna Ślusarczyk
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Corresponding author

Correspondence to Grażyna Ślusarczyk .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Brachman

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

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© 2016 Springer International Publishing Switzerland

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Grabska, E., Łachwa, A., Ślusarczyk, G. (2016). Approximate Reasoning and Fuzzy Evaluation in Code Compliance Checking. In: Gruca, A., Brachman, A., Kozielski, S., Czachórski, T. (eds) Man–Machine Interactions 4. Advances in Intelligent Systems and Computing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-319-23437-3_47

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  • DOI: https://doi.org/10.1007/978-3-319-23437-3_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23436-6

  • Online ISBN: 978-3-319-23437-3

  • eBook Packages: EngineeringEngineering (R0)

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